Optical synthetic aperture imaging telescope array co-phase error detection method based on multi-wavelength phase modulation

Abstract

The invention discloses an optical synthetic aperture imaging telescope array co-phase error detection method based on multi-wavelength phase modulation. Specific phase modulation is added to one child telescope of a synthetic aperture imaging telescope array, a set of point spread function PSF values of the system are measured by a camera, the set of PSF values are processed so as to obtain partial phase difference of the telescope array under the specific wavelength, then the process is repeated under different wavelength conditions so as to obtain multiple partial phase difference, and allthe partial phase difference under multiple wavelength conditions is processed so as to obtain the co-phase error of the imaging system. According to the method, phase modulation is performed on one child telescope of the synthetic aperture imaging telescope array by using a space phase modulation device, and the co-phase error is restored by the algorithm without iterative computation so that theco-phase error of the system can be rapidly and accurately detected; meanwhile, multi-wavelength information is utilized by the method and the 2pi fuzzy influence can be overcome so that the detection range and accuracy of the co-phase error can be greatly enhanced.

Description

technical field [0001] The invention belongs to the field of optical imaging telescopes, in particular to a method for detecting common phase errors of optical synthetic aperture imaging telescope arrays based on multi-wavelength phase modulation. Background technique [0002] The optical synthetic aperture imaging telescope array is a telescope system that utilizes multiple sub-telescopes specially arranged in space to achieve large-aperture resolving power. Compared with the single-aperture imaging system, the optical synthetic aperture imaging telescope array can obtain more high-frequency components of the target, thereby effectively improving the imaging observation accuracy and realizing the resolution capability of the equivalent large-aperture imaging system. At the same time, due to the small diameter and light weight of the optical components used, the difficulty of manufacturing and the cost of transportation can be greatly reduced. In practical applications, due...

AI Technical Summary

Problems solved by technology

Shaker-Hardman sensors are complex to design and manufacture, costly, and unable to detect complex wavefronts

Wavefront curvature sensors have low measurement accuracy and are not suitable for high-resolution imaging systems

The image-based phase difference method requires complex subsequent iterative algorithms to process images, and the real-time performance is poor

In addition, none of these existing methods can solve the problem of 2π ambiguity

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